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Entry Level Data Engineering Jobs in Illinois (NOW HIRING)

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Entry Level Engineer

Freeport, IL · On-site

$70K - $75K/yr

What you'll do You will provide civil, municipal, land development and/or environmental engineering ... You will work with clients to obtain data or share information. We promote a team environment, so ...

Entry Level Engineer

Rochelle, IL · On-site

$70K - $75K/yr

What you'll do You will provide civil, municipal, land development and/or environmental engineering ... You will work with clients to obtain data or share information. We promote a team environment, so ...

Entry Level Engineer

Champaign, IL · On-site

$70K - $75K/yr

What you'll do You will provide civil, municipal, land development and/or environmental engineering ... You will work with clients to obtain data or share information. We promote a team environment, so ...

Entry Level Engineer

Aurora, IL · On-site

$70K - $75K/yr

What you'll do You will provide civil, municipal, land development and/or environmental engineering ... You will work with clients to obtain data or share information. We promote a team environment, so ...

Entry Level Engineer

Rockford, IL · On-site

$70K - $75K/yr

What you'll do You will provide civil, municipal, land development and/or environmental engineering ... You will work with clients to obtain data or share information. We promote a team environment, so ...

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Entry Level Data Engineering information

See Illinois salary details

$11

$19

$30

How much do entry level data engineering jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for entry level data engineering in Illinois is $19.61, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $21.20 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

While most entry-level data engineering roles do not reach $500,000 annually, senior data engineers with extensive experience, specialized skills in big data tools, and leadership responsibilities can earn this level of compensation, often through a combination of salary, bonuses, and stock options in large tech companies or startups.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency but do not eliminate the core responsibilities of data engineering roles.

What is an Entry Level Data Engineering job?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an Entry Level Data Engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

Can I get a data engineer job with no experience?

Entry level data engineering roles typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level position.

What are the key skills and qualifications needed to thrive in the Entry Level Data Engineering position, and why are they important?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Which is the hardest field in it?

In entry-level data engineering, the most challenging aspects often involve mastering complex data pipelines, understanding distributed systems, and working with large-scale databases. Developing proficiency in tools like SQL, Python, and cloud platforms such as AWS or Azure can also be demanding for newcomers. Building strong problem-solving skills and gaining certifications can help overcome these challenges.
What are the most commonly searched types of Data Engineering jobs in Illinois? The most popular types of Data Engineering jobs in Illinois are:
What are popular job titles related to Entry Level Data Engineering jobs in Illinois? For Entry Level Data Engineering jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Engineering jobs in Illinois look for? The top searched job categories for Entry Level Data Engineering jobs in Illinois are:
What cities in Illinois are hiring for Entry Level Data Engineering jobs? Cities in Illinois with the most Entry Level Data Engineering job openings:
Infographic showing various Entry Level Data Engineering job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $40,794 per year, or $19.6 per hour.
Forward Deployed Data Engineering - Senior Associate

Forward Deployed Data Engineering - Senior Associate

Pwc

Chicago, IL

$77K - $214K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

24th of 73 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Engineering

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Forward Deployed Data Engineering - Senior Associate, you will be at the forefront of developing innovative software solutions that drive digital transformation and enhance business performance. Within our Tax practice, you will combine technical skills with creative thinking to design, code, and test applications that transform industries and deliver exceptional user experiences.
As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will leverage a broad range of tools and methodologies to generate new ideas and solve problems. You will develop a deeper understanding of the business context and how it is evolving, using critical thinking to break down complex concepts. This position offers a unique opportunity to enhance your skills while contributing to impactful projects within our Tax practice.
Responsibilities
- Developing innovative software solutions to drive digital transformation and enhance business performance
- Designing, coding, and testing applications to deliver exceptional user experiences
- Managing and reviewing code to maintain coding standards and quality
- Collaborating with teams to analyze business requirements and translate them into technical specifications
- Utilizing programming languages such as Python for software development and troubleshooting
- Implementing continuous integration and continuous delivery (CI/CD) practices to streamline software deployment
- Conducting quality assurance testing to validate software functionality and performance
- Engaging in application development and enterprise application integration to support client needs
- Applying object-oriented design principles to create scalable and maintainable software architectures
- Debugging and troubleshooting issues to optimize software performance and reliability
- Building meaningful client connections and anticipating their needs to deliver quality solutions
- Navigating complex situations and using critical thinking to solve problems and generate new ideas
- Upholding professional and technical standards in all aspects of software engineering work
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Excelling in API Management and Application Development
- Demonstrating proficiency in Business Requirements Analysis and Code Review
- Utilizing Python and Object-Oriented Design (OOD) for software solutions
- Implementing Continuous Integration/Continuous Delivery (CI/CD) practices
- Navigating complex client relationships with effective communication
- Developing insights through data interpretation and analysis
- Mentoring junior team members to enhance team performance

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $214,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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